TreeATE是Tree Automatic Test Equipment的缩写，专注服务于工厂成品或半成品测试自动化的一种开源软件工具平台。

• UpdatedJun 25, 2024
• C++

NEWS: JATE2.0 Beta.11 Released, see details below.

• UpdatedAug 24, 2023
• Java

Concurrent Mapping and Localization Library

• UpdatedAug 1, 2023
• C++

STDF to Wafer Bin Map utility written in Python

• UpdatedJul 12, 2018
• Python

Implements SemRe-Rank: improving automatic term extraction by incorporating semantic relatedness with personalised pagerank

• UpdatedApr 7, 2018
• Python

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

• UpdatedFeb 28, 2025
• R

Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)

• UpdatedAug 18, 2023
• R

This project has scripts which can be used to compress test vectors or patterns generated to use on SoC testers like Advantest, Ultraflex. The concept is universal and can be extended to any SoC tester.

• UpdatedDec 24, 2017
• Perl

Extract location of pads from a kicad layout. Useful for generating a test point report.

• UpdatedSep 9, 2024
• Python

Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?

• UpdatedJan 27, 2023
• Python

Make large ATE .stdf(.gz) files accessible (mostly PTR "RESULT" data, binning, test limits). Optionally fast binary import into Octave, with emphasis on working with multiple datasets.

• UpdatedOct 17, 2022
• C++

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

• UpdatedDec 10, 2024
• R

Automatic Term Extraction with NOBI Sequence Labeling approach

• UpdatedJul 25, 2024
• Python

Node-RED flow for automated testing of DCP405 module

• UpdatedMar 22, 2021

A domain-aware automatic term extraction tool.

• UpdatedSep 13, 2024
• Jupyter Notebook

Implementation of an adaptive experimental design algorithm

• UpdatedFeb 25, 2025
• Python

A Node-RED nodes to work with EEZ BB3

• UpdatedJan 18, 2021
• JavaScript

Non-parametric variable selection and inference via the outcome-adaptive Random Forest (OARF). Uses the IPTW estimator to estimate the ATE while the propensity score is estimated via OARF. This leads to smaller variance and bias. Only variables that are confounders or predictive of the outcome are selected for the propensity score.

• UpdatedJan 27, 2025
• R

A project in the course of Causal Inference

• UpdatedMar 22, 2021
• Jupyter Notebook

Simple method for filling in a spreadsheet with defined equations. Useful for electronics testing.

• UpdatedJul 9, 2024
• Python